Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks

Mohammed Amine Koulali; Essaid Sabir; Mounir Ghogho; Marwan M Krunz

doi:10.1109/GLOCOM.2016.7842338

Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks

Mohammed Amine Koulali, Essaid Sabir, Mounir Ghogho, Marwan M Krunz

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

In cognitive radio networks, secondary users (SUs) face two conflicting objectives. Each SU seeks to minimize the sensing duration while maximizing the detection probability of primary users (PU) to avoid interfering with their transmissions. Both objectives have a substantial effect on energy efficiency. This paper investigates a noncooperative setting for selecting the sensing duration when multiple SUs operate in the same network. Here, each SU has a certain throughput requirement. The interaction among SUs is captured via a satisfaction strategic game with explicitly stated throughput demands. We prove that depending on the throughput requirements, either zero, one or two Satisfaction Equilibria (SE) exist. We then provide a fully distributed learning algorithm (SELA) to discover them. Extensive simulation results show the validity of the proposed SELA and illustrate the relationship between the throughput demand and the sensing duration.

Original language	English (US)
Title of host publication	2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509013289
DOIs	https://doi.org/10.1109/GLOCOM.2016.7842338
State	Published - Feb 2 2017
Event	59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States Duration: Dec 4 2016 → Dec 8 2016

Other

Other	59th IEEE Global Communications Conference, GLOBECOM 2016
Country	United States
City	Washington
Period	12/4/16 → 12/8/16

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Networks and Communications
Hardware and Architecture
Safety, Risk, Reliability and Quality

Access to Document

10.1109/GLOCOM.2016.7842338

Fingerprint Dive into the research topics of 'Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks'. Together they form a unique fingerprint.

Cite this

Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks. / Koulali, Mohammed Amine; Sabir, Essaid; Ghogho, Mounir; Krunz, Marwan M.

2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7842338.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Koulali, MA, Sabir, E, Ghogho, M & Krunz, MM 2017, Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks. in 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings., 7842338, Institute of Electrical and Electronics Engineers Inc., 59th IEEE Global Communications Conference, GLOBECOM 2016, Washington, United States, 12/4/16. https://doi.org/10.1109/GLOCOM.2016.7842338

@inproceedings{ddbf14d3184f48e1ab5be6f94839852c,

title = "Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks",

abstract = "In cognitive radio networks, secondary users (SUs) face two conflicting objectives. Each SU seeks to minimize the sensing duration while maximizing the detection probability of primary users (PU) to avoid interfering with their transmissions. Both objectives have a substantial effect on energy efficiency. This paper investigates a noncooperative setting for selecting the sensing duration when multiple SUs operate in the same network. Here, each SU has a certain throughput requirement. The interaction among SUs is captured via a satisfaction strategic game with explicitly stated throughput demands. We prove that depending on the throughput requirements, either zero, one or two Satisfaction Equilibria (SE) exist. We then provide a fully distributed learning algorithm (SELA) to discover them. Extensive simulation results show the validity of the proposed SELA and illustrate the relationship between the throughput demand and the sensing duration.",

author = "Koulali, {Mohammed Amine} and Essaid Sabir and Mounir Ghogho and Krunz, {Marwan M}",

year = "2017",

month = feb,

day = "2",

doi = "10.1109/GLOCOM.2016.7842338",

language = "English (US)",

booktitle = "2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "59th IEEE Global Communications Conference, GLOBECOM 2016 ; Conference date: 04-12-2016 Through 08-12-2016",

}

TY - GEN

T1 - Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks

AU - Koulali, Mohammed Amine

AU - Sabir, Essaid

AU - Ghogho, Mounir

AU - Krunz, Marwan M

PY - 2017/2/2

Y1 - 2017/2/2

N2 - In cognitive radio networks, secondary users (SUs) face two conflicting objectives. Each SU seeks to minimize the sensing duration while maximizing the detection probability of primary users (PU) to avoid interfering with their transmissions. Both objectives have a substantial effect on energy efficiency. This paper investigates a noncooperative setting for selecting the sensing duration when multiple SUs operate in the same network. Here, each SU has a certain throughput requirement. The interaction among SUs is captured via a satisfaction strategic game with explicitly stated throughput demands. We prove that depending on the throughput requirements, either zero, one or two Satisfaction Equilibria (SE) exist. We then provide a fully distributed learning algorithm (SELA) to discover them. Extensive simulation results show the validity of the proposed SELA and illustrate the relationship between the throughput demand and the sensing duration.

AB - In cognitive radio networks, secondary users (SUs) face two conflicting objectives. Each SU seeks to minimize the sensing duration while maximizing the detection probability of primary users (PU) to avoid interfering with their transmissions. Both objectives have a substantial effect on energy efficiency. This paper investigates a noncooperative setting for selecting the sensing duration when multiple SUs operate in the same network. Here, each SU has a certain throughput requirement. The interaction among SUs is captured via a satisfaction strategic game with explicitly stated throughput demands. We prove that depending on the throughput requirements, either zero, one or two Satisfaction Equilibria (SE) exist. We then provide a fully distributed learning algorithm (SELA) to discover them. Extensive simulation results show the validity of the proposed SELA and illustrate the relationship between the throughput demand and the sensing duration.

UR - http://www.scopus.com/inward/record.url?scp=85015420101&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015420101&partnerID=8YFLogxK

U2 - 10.1109/GLOCOM.2016.7842338

DO - 10.1109/GLOCOM.2016.7842338

M3 - Conference contribution

AN - SCOPUS:85015420101

BT - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 59th IEEE Global Communications Conference, GLOBECOM 2016

Y2 - 4 December 2016 through 8 December 2016

ER -